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In Situ Simulation as a Quality Improvement Tool to Identify and Mitigate Latent Safety Threats for Emergency Department SARS-CoV-2 Airway Management: A Multi-Institutional Initiative

BACKGROUND: In situ simulation has emerged as a powerful quality improvement (QI) tool in the identification of latent safety threats (LSTs). Following the first wave of SARS-CoV-2 at an urban epicenter of the disease, a multi-institutional collaborative was formed to integrate an in situ simulation...

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Autores principales: Yang, Christina J., Saggar, Vinay, Seneviratne, Namal, Janzen, Alex, Ahmed, Oark, Singh, Maninder, Restivo, Andrew, Yoon, Andrew, Bajaj, Komal, Ahmed, Sadia T., Moseley, Mary, Moss, Hillary, Jafri, Farrukh N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951608/
https://www.ncbi.nlm.nih.gov/pubmed/37003946
http://dx.doi.org/10.1016/j.jcjq.2023.02.005
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author Yang, Christina J.
Saggar, Vinay
Seneviratne, Namal
Janzen, Alex
Ahmed, Oark
Singh, Maninder
Restivo, Andrew
Yoon, Andrew
Bajaj, Komal
Ahmed, Sadia T.
Moseley, Mary
Moss, Hillary
Jafri, Farrukh N.
author_facet Yang, Christina J.
Saggar, Vinay
Seneviratne, Namal
Janzen, Alex
Ahmed, Oark
Singh, Maninder
Restivo, Andrew
Yoon, Andrew
Bajaj, Komal
Ahmed, Sadia T.
Moseley, Mary
Moss, Hillary
Jafri, Farrukh N.
author_sort Yang, Christina J.
collection PubMed
description BACKGROUND: In situ simulation has emerged as a powerful quality improvement (QI) tool in the identification of latent safety threats (LSTs). Following the first wave of SARS-CoV-2 at an urban epicenter of the disease, a multi-institutional collaborative was formed to integrate an in situ simulation protocol across five emergency departments (EDs) for systems improvement of acute airway management. METHODS: A prospective, multi-institutional QI initiative using two Plan-Do-Study-Act (PDSA) cycles was implemented across five EDs. Each institution conducted simulations involving mannequins in acute respiratory failure requiring definitive airways. Simulations and systems-based debriefs were standardized. LSTs were collected in an online database, focused on (1) equipment availability, (2) infection control, and (3) communication. RESULTS: From June 2020 through May 2021, 58 of 70 (82.9%) planned simulations were completed across five sites with 328 unique individual participants. Overall LSTs per simulation (7.00–4.69, p < 0.001) and equipment LSTs (3.00–1.46, p < 0.001) decreased from cycle 1 to cycle 2. Changes in mean LSTs for infection control and communication categories varied among sites. There was no correlation between total LSTs or any of the categories and team size. Number of beds occupied was significantly negatively correlated with total and infection control LSTs. CONCLUSION: This study was unique in simultaneously running a structured in situ protocol across numerous diverse institutions during a global pandemic. This initiative found similar categories of threats across sites, and the protocol developed empowered participants to implement changes to mitigate identified threats.
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spelling pubmed-99516082023-02-24 In Situ Simulation as a Quality Improvement Tool to Identify and Mitigate Latent Safety Threats for Emergency Department SARS-CoV-2 Airway Management: A Multi-Institutional Initiative Yang, Christina J. Saggar, Vinay Seneviratne, Namal Janzen, Alex Ahmed, Oark Singh, Maninder Restivo, Andrew Yoon, Andrew Bajaj, Komal Ahmed, Sadia T. Moseley, Mary Moss, Hillary Jafri, Farrukh N. Jt Comm J Qual Patient Saf Article BACKGROUND: In situ simulation has emerged as a powerful quality improvement (QI) tool in the identification of latent safety threats (LSTs). Following the first wave of SARS-CoV-2 at an urban epicenter of the disease, a multi-institutional collaborative was formed to integrate an in situ simulation protocol across five emergency departments (EDs) for systems improvement of acute airway management. METHODS: A prospective, multi-institutional QI initiative using two Plan-Do-Study-Act (PDSA) cycles was implemented across five EDs. Each institution conducted simulations involving mannequins in acute respiratory failure requiring definitive airways. Simulations and systems-based debriefs were standardized. LSTs were collected in an online database, focused on (1) equipment availability, (2) infection control, and (3) communication. RESULTS: From June 2020 through May 2021, 58 of 70 (82.9%) planned simulations were completed across five sites with 328 unique individual participants. Overall LSTs per simulation (7.00–4.69, p < 0.001) and equipment LSTs (3.00–1.46, p < 0.001) decreased from cycle 1 to cycle 2. Changes in mean LSTs for infection control and communication categories varied among sites. There was no correlation between total LSTs or any of the categories and team size. Number of beds occupied was significantly negatively correlated with total and infection control LSTs. CONCLUSION: This study was unique in simultaneously running a structured in situ protocol across numerous diverse institutions during a global pandemic. This initiative found similar categories of threats across sites, and the protocol developed empowered participants to implement changes to mitigate identified threats. Elsevier 2023 2023-02-24 /pmc/articles/PMC9951608/ /pubmed/37003946 http://dx.doi.org/10.1016/j.jcjq.2023.02.005 Text en Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Yang, Christina J.
Saggar, Vinay
Seneviratne, Namal
Janzen, Alex
Ahmed, Oark
Singh, Maninder
Restivo, Andrew
Yoon, Andrew
Bajaj, Komal
Ahmed, Sadia T.
Moseley, Mary
Moss, Hillary
Jafri, Farrukh N.
In Situ Simulation as a Quality Improvement Tool to Identify and Mitigate Latent Safety Threats for Emergency Department SARS-CoV-2 Airway Management: A Multi-Institutional Initiative
title In Situ Simulation as a Quality Improvement Tool to Identify and Mitigate Latent Safety Threats for Emergency Department SARS-CoV-2 Airway Management: A Multi-Institutional Initiative
title_full In Situ Simulation as a Quality Improvement Tool to Identify and Mitigate Latent Safety Threats for Emergency Department SARS-CoV-2 Airway Management: A Multi-Institutional Initiative
title_fullStr In Situ Simulation as a Quality Improvement Tool to Identify and Mitigate Latent Safety Threats for Emergency Department SARS-CoV-2 Airway Management: A Multi-Institutional Initiative
title_full_unstemmed In Situ Simulation as a Quality Improvement Tool to Identify and Mitigate Latent Safety Threats for Emergency Department SARS-CoV-2 Airway Management: A Multi-Institutional Initiative
title_short In Situ Simulation as a Quality Improvement Tool to Identify and Mitigate Latent Safety Threats for Emergency Department SARS-CoV-2 Airway Management: A Multi-Institutional Initiative
title_sort in situ simulation as a quality improvement tool to identify and mitigate latent safety threats for emergency department sars-cov-2 airway management: a multi-institutional initiative
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951608/
https://www.ncbi.nlm.nih.gov/pubmed/37003946
http://dx.doi.org/10.1016/j.jcjq.2023.02.005
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